Abstract 3010
Background
Analysis of outliers leads to breakthroughs in oncology. Examples of this include pan-approval for anti-PD1 therapy in mismatch repair deficient tumours and TSC1 as a biomarker for mTOR inhibitor response. We aim to recruit patients with an exceptional response to anti-cancer therapy and analyse tumour and normal tissue for genomic changes predisposing to this response. We are collaborating with similar programs internationally to enable cross-comparison. Genomic data with non-identifying clinical data will be included in a controlled-access online repository.
Trial design
The program is promoted through national professional organisations and trials groups. Patients are consented via Telehealth after referral by their treating clinician. Relevant clinical records are obtained and considered by a tumour-specific sub-committee. An exceptional response is defined as complete (CR) or partial response (PR) where <10% would be expected to respond, CR or PR lasting > 3 times that expected, or best response progressive disease where >90% of patients would be expected to respond. Consideration is given to the broader context of each case, and exceptional cases that do not meet these criteria. Once approved, patients are contacted to provide a once-off blood sample at their local pathology unit. Blood is couriered to the Garvan Institute, an aliquot removed for DNA extraction, and the remainder processed into PBMC and non-lymphocyte fractions. DNA is analysed for germline variants using whole genome sequencing (Illumina HiSeqX Ten). Archival tissue is retrieved for analysis at St Vincent’s SydPath. Tumour analysis includes histological confirmation of diagnosis, tumour proportion score, degree of necrosis and ancillary tests as appropriate. DNA and RNA is extracted from tumour tissue and analysed using a targeted panel with select analysis of copy number variants and gene fusions (Oncomine Comprehensive Assay v3.0). Further analysis is determined by quantity and quality of available tissue. To date, thirty-eight patients have been recruited across twelve tumour types. Emerging sub-groups include pancreas adenocarcinoma (n = 5), prostate (n = 5), non-small cell lung cancer (n = 5) and malignant pleural mesothelioma (n = 4).
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Garvan Institute of Medical Research.
Funding
Kinghorn Foundation and Bioplatforms Australia.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract